Includes assistance to our clients in their development of corporate structure definitions, classifications of internal data such as risk, controls, causal factors, KRI's as well as access to robust external data such as public and consortium loss data, scenario consortium data, KRIex data, benchmarking and other relevant information used to structure and tie in ERM, Operational Risk and GRC frameworks.  Data & Content Libraries are available on a subcription basis.

For industries such as the large global financial institutions and insurance companies, Operational Risk (under Basel II) requires firms to quantify their Operational Risk VaR (Value-at-Risk) for the purposes of regulatory and economic capital computations.  Basel II's OpRisk requirement includes three Pillars: 1) Capital Requirement; 2) Supervision; and 3) Disclosure.  Our solutions assist our clients in building out an integrated combination of Risk-Control Self Assessment (Business and Environmental Control Factors), Scenario Analysis, Internal Loss Data and External Loss Data mechanisms.  Our service is designed to help our clients effectively optimize their use of tools and data/content providing robust analytics that help size the captial requirement in a cost-effective manner.

The vehicle in which management interfaces with risk data and analysis are the technologies and tools that holds the structures, provides the anlaytical functions, and relates the information to management in a way that provides intelligence vs. data to the firm.  Our products (either proprietary or through key relationships) enables us to assess the technology needs based upon the Client's desired level of risk management, provide options to the client while helping them perform rigorous evaluation of the appropriate tools.  Whether an Enterprise License (EL) solution, a simple Software-as-a-Service (SaaS), or an Excel/Access solution, our technical risk practitioners are prepared to integrate the technology and data under an Integrated Solution.

Quantitative and qualitative methods of measuring and monitoring financial risk (or market, credit /counterparty and funding/liquidity risk) have been in place for most companies over the longest time.  Some industries only deal with credit risk, and others all of the financial risks.  Our approach is to evaluate our client's use of tools, models, assumptions with deep quantiative expertise that align their skills with the type of financial risk being evaluated by the client. We recommend process/control improvements over methods currently used and assist with the implementation of changes.  Our strong relationships with financial risk analytic tools firms, some which have emerged recently, provides options for our clients to optimize their predictive analysis (e.g., Scenario analysis, stress testing, and other methods) and reporting of risk/exposure.

Includes best practice advisory for Senior Management and Boards on ERM related topics such as Risk Assessments, determining Risk Appetite and its relationship to Tolerances, Limits and Levels within business units.  If ERM frameworks are a goal for our clients, we are prepared to assist them in designing an ERM framework architecture covering across all identified risk areas, including those covered by traditional GRC approaches.  The approach typically entails a close integration of data structures, internal / external data fees and supporting tools that allow for an aggregated view of risk across the firm, as well as risk analytics and reporting structures.   An equally important angle to ERM is the Program Change Management nature of the effort, which requires corporate communications, awareness, training and faciliated efforts toward a single goal.